Tech Stack

Description

You will design, implement, test, and deploy robot manipulation algorithms using reinforcement learning and imitation learning to enable assembly and material movement tasks in dynamic environments. You'll take ownership of critical ML projects from conception to deployment and collaborate across disciplines.

Requirements

• MS or PhD in ML, CS, robotics, or related field
• Practical experience training and deploying ML models for real-world applications
• Deep understanding of RL and IL applied to robotics
• Proficiency in Python, PyTorch
• Experience with data collection and preprocessing for ML

Responsibilities

• Design and implement ML algorithms (RL, IL) for robotic manipulation
• Deploy robust, scalable models to real-world robotic systems
• Integrate ML solutions into existing robotics workflows
• Drive innovation by incorporating latest research
• Provide technical mentorship to junior engineers